56fd68e7dd
CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
11 lines
737 B
Plaintext
11 lines
737 B
Plaintext
CHECK: Dense Histogram
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CHECK-NEXT: initial data 3 4 3 5 8 5 6 6 4 4 5 3 2 5 6 3 1 3 2 3 6 5 3 3 3 2 4 2 3 3 2 5 5 5 8 2 5 6 6 3
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CHECK-NEXT: sorted data 1 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 5 5 5 5 5 5 5 5 5 6 6 6 6 6 6 8 8
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CHECK-NEXT: cumulative histogram 0 1 7 19 23 32 38 38 40
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CHECK-NEXT: histogram 0 1 6 12 4 9 6 0 2
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CHECK-NEXT: Sparse Histogram
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CHECK-NEXT: initial data 3 4 3 5 8 5 6 6 4 4 5 3 2 5 6 3 1 3 2 3 6 5 3 3 3 2 4 2 3 3 2 5 5 5 8 2 5 6 6 3
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CHECK-NEXT: sorted data 1 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 5 5 5 5 5 5 5 5 5 6 6 6 6 6 6 8 8
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CHECK-NEXT: histogram values 1 2 3 4 5 6 8
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CHECK-NEXT: histogram counts 1 6 12 4 9 6 2
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